Thanks for running the release. On Thu, Mar 29, 2018 at 3:21 PM, zhenya Sun <toke...@126.com> wrote:
> good !! > > > 在 2018年3月29日，下午5:45，Mickael Maison <mickael.mai...@gmail.com> 写道： > > > > Great news, thanks Damian and Rajini for running this release! > > > > On Thu, Mar 29, 2018 at 10:33 AM, Rajini Sivaram > > <rajinisiva...@gmail.com> wrote: > >> Resending to kaka-clients group: > >> > >> ---------- Forwarded message ---------- > >> From: Rajini Sivaram <rsiva...@apache.org> > >> Date: Thu, Mar 29, 2018 at 10:27 AM > >> Subject: [ANNOUNCE] Apache Kafka 1.1.0 Released > >> To: annou...@apache.org, Users <us...@kafka.apache.org>, dev < > >> dev@kafka.apache.org>, kafka-clients <kafka-clie...@googlegroups.com> > >> > >> > >> The Apache Kafka community is pleased to announce the release for > >> > >> Apache Kafka 1.1.0. > >> > >> > >> Kafka 1.1.0 includes a number of significant new features. > >> > >> Here is a summary of some notable changes: > >> > >> > >> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller > >> > >> that speed up controlled shutdown. ZooKeeper session expiration edge > >> cases > >> > >> have also been fixed as part of this effort. > >> > >> > >> ** Controller improvements also enable more partitions to be supported > on a > >> > >> single cluster. KIP-227 introduced incremental fetch requests, > providing > >> > >> more efficient replication when the number of partitions is large. > >> > >> > >> ** KIP-113 added support for replica movement between log directories to > >> > >> enable data balancing with JBOD. > >> > >> > >> ** Some of the broker configuration options like SSL keystores can now > be > >> > >> updated dynamically without restarting the broker. See KIP-226 for > >> details > >> > >> and the full list of dynamic configs. > >> > >> > >> ** Delegation token based authentication (KIP-48) has been added to > Kafka > >> > >> brokers to support large number of clients without overloading > Kerberos > >> > >> KDCs or other authentication servers. > >> > >> > >> ** Several new features have been added to Kafka Connect, including > header > >> > >> support (KIP-145), SSL and Kafka cluster identifiers in the Connect > REST > >> > >> interface (KIP-208 and KIP-238), validation of connector names > (KIP-212) > >> > >> and support for topic regex in sink connectors (KIP-215). > Additionally, > >> > >> the default maximum heap size for Connect workers was increased to > 2GB. > >> > >> > >> ** Several improvements have been added to the Kafka Streams API, > including > >> > >> reducing repartition topic partitions footprint, customizable error > >> > >> handling for produce failures and enhanced resilience to broker > >> > >> unavailability. See KIPs 205, 210, 220, 224 and 239 for details. > >> > >> > >> All of the changes in this release can be found in the release notes: > >> > >> > >> > >> https://dist.apache.org/repos/dist/release/kafka/1.1.0/ > RELEASE_NOTES.html > >> > >> > >> > >> > >> You can download the source release from: > >> > >> > >> > >> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/ > kafka-1.1.0-src.tgz > >> > >> > >> > >> and binary releases from: > >> > >> > >> > >> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/ > kafka_2.11-1.1.0.tgz > >> > >> (Scala 2.11) > >> > >> > >> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/ > kafka_2.12-1.1.0.tgz > >> > >> (Scala 2.12) > >> > >> > >> ------------------------------------------------------------ > >> ------------------ > >> > >> > >> > >> Apache Kafka is a distributed streaming platform with four core APIs: > >> > >> > >> > >> ** The Producer API allows an application to publish a stream records to > >> > >> one or more Kafka topics. > >> > >> > >> > >> ** The Consumer API allows an application to subscribe to one or more > >> > >> topics and process the stream of records produced to them. > >> > >> > >> > >> ** The Streams API allows an application to act as a stream processor, > >> > >> consuming an input stream from one or more topics and producing an > output > >> > >> stream to one or more output topics, effectively transforming the input > >> > >> streams to output streams. > >> > >> > >> > >> ** The Connector API allows building and running reusable producers or > >> > >> consumers that connect Kafka topics to existing applications or data > >> > >> systems. For example, a connector to a relational database might capture > >> > >> every change to a table.three key capabilities: > >> > >> > >> > >> > >> With these APIs, Kafka can be used for two broad classes of application: > >> > >> ** Building real-time streaming data pipelines that reliably get data > >> > >> between systems or applications. > >> > >> > >> > >> ** Building real-time streaming applications that transform or react to > the > >> > >> streams of data. > >> > >> > >> > >> > >> Apache Kafka is in use at large and small companies worldwide, including > >> > >> Capital One, Goldman Sachs, ING, LinkedIn, Netflix, Pinterest, Rabobank, > >> > >> Target, The New York Times, Uber, Yelp, and Zalando, among others. > >> > >> > >> > >> > >> A big thank you for the following 120 contributors to this release! > >> > >> > >> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs, > >> > >> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter, > >> > >> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe, > >> > >> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood, > >> > >> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar, > >> > >> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe > Agapito, > >> > >> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo > Louro, > >> > >> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski, > >> > >> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy > >> Custenborder, > >> > >> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel > >> Hamill, > >> > >> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański, > >> > >> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley, > >> > >> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O, > >> manjuapu, > >> > >> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax, > >> > >> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison, > >> Mikkin, > >> > >> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat > Anawatmongkhon, > >> > >> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt, > >> > >> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota, > >> > >> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar, > >> > >> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff, > >> > >> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, > Study, > >> > >> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis > >> Wellman, > >> > >> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt, > >> > >> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, > Yu-Jhe > >> > >> > >> > >> Many thanks to Damian Guy for driving this release. > >> > >> > >> We welcome your help and feedback. For more information on how to > >> > >> report problems, and to get involved, visit the project website at > >> > >> http://kafka.apache.org/ > >> > >> > >> > >> Thank you! > >> > >> > >> Rajini > >
